Dataset statistics
| Number of variables | 12 |
|---|---|
| Number of observations | 356 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 1 |
| Duplicate rows (%) | 0.3% |
| Total size in memory | 57.2 KiB |
| Average record size in memory | 164.6 B |
Variable types
| NUM | 10 |
|---|---|
| DATE | 1 |
| CAT | 1 |
Reproduction
| Analysis started | 2020-04-03 11:16:48.687076 |
|---|---|
| Analysis finished | 2020-04-03 11:17:05.743195 |
| Version | pandas-profiling v2.5.0 |
| Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
| Download configuration | config.yaml |
| Dataset has 1 (0.3%) duplicate rows | Duplicates |
enthalpy is highly correlated with temperature and 1 other fields | High Correlation |
temperature is highly correlated with enthalpy and 1 other fields | High Correlation |
dewpoint is highly correlated with humidity_abs | High Correlation |
humidity_abs is highly correlated with dewpoint | High Correlation |
density is highly correlated with temperature and 1 other fields | High Correlation |
cloudcoverage has 146 (41.0%) zeros | Zeros |
datetime
Date
| Distinct count | 355 |
|---|---|
| Unique (%) | 99.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.9 KiB |
| Minimum | 2020-03-19 11:45:50 |
|---|---|
| Maximum | 2020-04-03 12:56:50 |
Histogram
| Distinct count | 316 |
|---|---|
| Unique (%) | 88.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.81761236 |
|---|---|
| Minimum | -3.77 |
| Maximum | 16.02 |
| Zeros | 1 |
| Zeros (%) | 0.3% |
| Memory size | 2.9 KiB |
Quantile statistics
| Minimum | -3.77 |
|---|---|
| 5-th percentile | -1.97 |
| Q1 | 1.8175 |
| median | 4.755 |
| Q3 | 7.4875 |
| 95-th percentile | 12.7275 |
| Maximum | 16.02 |
| Range | 19.79 |
| Interquartile range (IQR) | 5.67 |
Descriptive statistics
| Standard deviation | 4.307107022 |
|---|---|
| Coefficient of variation (CV) | 0.894033538 |
| Kurtosis | -0.2360300687 |
| Mean | 4.81761236 |
| Median Absolute Deviation (MAD) | 3.415592413 |
| Skewness | 0.2424348125 |
| Sum | 1715.07 |
| Variance | 18.5511709 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[-3.77 2.67 7.65 10.21 16.02], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 4.08 | 3 | 0.8% | |
| 4.94 | 3 | 0.8% | |
| 4.76 | 2 | 0.6% | |
| -1.33 | 2 | 0.6% | |
| 9.63 | 2 | 0.6% | |
| 6.26 | 2 | 0.6% | |
| 4.71 | 2 | 0.6% | |
| -1.71 | 2 | 0.6% | |
| 9.32 | 2 | 0.6% | |
| 4.38 | 2 | 0.6% | |
| Other values (306) | 334 | 93.8% |
| Value | Count | Frequency (%) | |
| -3.77 | 1 | 0.3% | |
| -3.72 | 1 | 0.3% | |
| -3.66 | 1 | 0.3% | |
| -3.43 | 1 | 0.3% | |
| -3.04 | 1 | 0.3% |
| Value | Count | Frequency (%) | |
| 16.02 | 1 | 0.3% | |
| 15.84 | 1 | 0.3% | |
| 15.4 | 1 | 0.3% | |
| 15.19 | 1 | 0.3% | |
| 15.16 | 1 | 0.3% |
humidity
Real number (ℝ≥0)
| Distinct count | 71 |
|---|---|
| Unique (%) | 19.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 55.70786517 |
|---|---|
| Minimum | 21 |
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.9 KiB |
Quantile statistics
| Minimum | 21 |
|---|---|
| 5-th percentile | 28 |
| Q1 | 40 |
| median | 55 |
| Q3 | 72 |
| 95-th percentile | 87 |
| Maximum | 100 |
| Range | 79 |
| Interquartile range (IQR) | 32 |
Descriptive statistics
| Standard deviation | 19.23052283 |
|---|---|
| Coefficient of variation (CV) | 0.3452030117 |
| Kurtosis | -1.032915701 |
| Mean | 55.70786517 |
| Median Absolute Deviation (MAD) | 16.4580861 |
| Skewness | 0.1302029247 |
| Sum | 19832 |
| Variance | 369.8130084 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 21. 27.5 81.5 92.5 100. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 47 | 11 | 3.1% | |
| 75 | 11 | 3.1% | |
| 51 | 11 | 3.1% | |
| 56 | 10 | 2.8% | |
| 80 | 10 | 2.8% | |
| 64 | 9 | 2.5% | |
| 68 | 9 | 2.5% | |
| 35 | 9 | 2.5% | |
| 81 | 9 | 2.5% | |
| 70 | 9 | 2.5% | |
| Other values (61) | 258 | 72.5% |
| Value | Count | Frequency (%) | |
| 21 | 3 | 0.8% | |
| 22 | 5 | 1.4% | |
| 23 | 2 | 0.6% | |
| 24 | 2 | 0.6% | |
| 26 | 4 | 1.1% |
| Value | Count | Frequency (%) | |
| 100 | 1 | 0.3% | |
| 93 | 4 | 1.1% | |
| 92 | 3 | 0.8% | |
| 90 | 2 | 0.6% | |
| 89 | 3 | 0.8% |
pressure
Real number (ℝ≥0)
| Distinct count | 36 |
|---|---|
| Unique (%) | 10.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1026.595506 |
|---|---|
| Minimum | 1005 |
| Maximum | 1041 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.9 KiB |
Quantile statistics
| Minimum | 1005 |
|---|---|
| 5-th percentile | 1010.75 |
| Q1 | 1022 |
| median | 1027 |
| Q3 | 1032 |
| 95-th percentile | 1039 |
| Maximum | 1041 |
| Range | 36 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 8.24104342 |
|---|---|
| Coefficient of variation (CV) | 0.008027546755 |
| Kurtosis | 0.03822658905 |
| Mean | 1026.595506 |
| Median Absolute Deviation (MAD) | 6.397803308 |
| Skewness | -0.5099153962 |
| Sum | 365468 |
| Variance | 67.91479665 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1005. 1016.5 1023.5 1031.5 1033.5 1041. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 1025 | 34 | 9.6% | |
| 1026 | 27 | 7.6% | |
| 1029 | 23 | 6.5% | |
| 1031 | 18 | 5.1% | |
| 1028 | 17 | 4.8% | |
| 1038 | 17 | 4.8% | |
| 1030 | 17 | 4.8% | |
| 1035 | 16 | 4.5% | |
| 1024 | 16 | 4.5% | |
| 1027 | 14 | 3.9% | |
| Other values (26) | 157 | 44.1% |
| Value | Count | Frequency (%) | |
| 1005 | 5 | 1.4% | |
| 1006 | 4 | 1.1% | |
| 1007 | 5 | 1.4% | |
| 1008 | 2 | 0.6% | |
| 1010 | 2 | 0.6% |
| Value | Count | Frequency (%) | |
| 1041 | 4 | 1.1% | |
| 1040 | 9 | 2.5% | |
| 1039 | 7 | 2.0% | |
| 1038 | 17 | 4.8% | |
| 1037 | 11 | 3.1% |
windspeed
Real number (ℝ≥0)
| Distinct count | 16 |
|---|---|
| Unique (%) | 4.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.646348315 |
|---|---|
| Minimum | 1 |
| Maximum | 8.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1.5 |
| Q1 | 2.6 |
| median | 3.1 |
| Q3 | 4.6 |
| 95-th percentile | 7.2 |
| Maximum | 8.7 |
| Range | 7.7 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.620020216 |
|---|---|
| Coefficient of variation (CV) | 0.4442856459 |
| Kurtosis | 0.3361131065 |
| Mean | 3.646348315 |
| Median Absolute Deviation (MAD) | 1.260833544 |
| Skewness | 0.8800921533 |
| Sum | 1298.1 |
| Variance | 2.624465501 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1. 1.25 4.35 5.4 8.7 ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 3.1 | 63 | 17.7% | |
| 2.1 | 44 | 12.4% | |
| 3.6 | 42 | 11.8% | |
| 2.6 | 41 | 11.5% | |
| 4.1 | 40 | 11.2% | |
| 1.5 | 31 | 8.7% | |
| 5.1 | 22 | 6.2% | |
| 4.6 | 19 | 5.3% | |
| 6.7 | 13 | 3.7% | |
| 5.7 | 10 | 2.8% | |
| Other values (6) | 31 | 8.7% |
| Value | Count | Frequency (%) | |
| 1 | 4 | 1.1% | |
| 1.5 | 31 | 8.7% | |
| 2.1 | 44 | 12.4% | |
| 2.6 | 41 | 11.5% | |
| 3.1 | 63 | 17.7% |
| Value | Count | Frequency (%) | |
| 8.7 | 1 | 0.3% | |
| 8.2 | 4 | 1.1% | |
| 7.7 | 5 | 1.4% | |
| 7.2 | 9 | 2.5% | |
| 6.7 | 13 | 3.7% |
winddir
Real number (ℝ≥0)
| Distinct count | 28 |
|---|---|
| Unique (%) | 7.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 160.3988764 |
|---|---|
| Minimum | 10 |
| Maximum | 399 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.9 KiB |
Quantile statistics
| Minimum | 10 |
|---|---|
| 5-th percentile | 20 |
| Q1 | 50 |
| median | 100 |
| Q3 | 280 |
| 95-th percentile | 360 |
| Maximum | 399 |
| Range | 389 |
| Interquartile range (IQR) | 230 |
Descriptive statistics
| Standard deviation | 122.1983075 |
|---|---|
| Coefficient of variation (CV) | 0.7618401717 |
| Kurtosis | -1.417632276 |
| Mean | 160.3988764 |
| Median Absolute Deviation (MAD) | 113.9559715 |
| Skewness | 0.4307059821 |
| Sum | 57102 |
| Variance | 14932.42636 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 10. 95. 135. 245. 265. 399.], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 50 | 27 | 7.6% | |
| 80 | 26 | 7.3% | |
| 60 | 22 | 6.2% | |
| 260 | 21 | 5.9% | |
| 40 | 21 | 5.9% | |
| 90 | 18 | 5.1% | |
| 20 | 17 | 4.8% | |
| 250 | 17 | 4.8% | |
| 30 | 17 | 4.8% | |
| 280 | 16 | 4.5% | |
| Other values (18) | 154 | 43.3% |
| Value | Count | Frequency (%) | |
| 10 | 10 | 2.8% | |
| 20 | 17 | 4.8% | |
| 30 | 17 | 4.8% | |
| 40 | 21 | 5.9% | |
| 50 | 27 | 7.6% |
| Value | Count | Frequency (%) | |
| 399 | 8 | 2.2% | |
| 360 | 15 | 4.2% | |
| 350 | 6 | 1.7% | |
| 340 | 12 | 3.4% | |
| 330 | 7 | 2.0% |
| Distinct count | 40 |
|---|---|
| Unique (%) | 11.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.15449438 |
|---|---|
| Minimum | 0 |
| Maximum | 100 |
| Zeros | 146 |
| Zeros (%) | 41.0% |
| Memory size | 2.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 14 |
| Q3 | 40 |
| 95-th percentile | 75.25 |
| Maximum | 100 |
| Range | 100 |
| Interquartile range (IQR) | 40 |
Descriptive statistics
| Standard deviation | 30.24913002 |
|---|---|
| Coefficient of variation (CV) | 1.202533812 |
| Kurtosis | -0.6819635569 |
| Mean | 25.15449438 |
| Median Absolute Deviation (MAD) | 25.80120881 |
| Skewness | 0.8997390538 |
| Sum | 8955 |
| Variance | 915.0098671 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 0.5 19.5 20.5 21.5 38.5 40.5 71.5 75.5 100. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0 | 146 | 41.0% | |
| 75 | 50 | 14.0% | |
| 20 | 44 | 12.4% | |
| 40 | 21 | 5.9% | |
| 14 | 6 | 1.7% | |
| 1 | 5 | 1.4% | |
| 21 | 5 | 1.4% | |
| 2 | 4 | 1.1% | |
| 30 | 4 | 1.1% | |
| 4 | 3 | 0.8% | |
| Other values (30) | 68 | 19.1% |
| Value | Count | Frequency (%) | |
| 0 | 146 | 41.0% | |
| 1 | 5 | 1.4% | |
| 2 | 4 | 1.1% | |
| 3 | 2 | 0.6% | |
| 4 | 3 | 0.8% |
| Value | Count | Frequency (%) | |
| 100 | 3 | 0.8% | |
| 99 | 2 | 0.6% | |
| 88 | 2 | 0.6% | |
| 85 | 2 | 0.6% | |
| 84 | 1 | 0.3% |
weather_description
Categorical
| Distinct count | 9 |
|---|---|
| Unique (%) | 2.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.9 KiB |
| Clear : clear sky | |
|---|---|
| Clouds : few clouds | |
| Clouds : broken clouds | |
| Clouds : scattered clouds | |
| Rain : light rain | 12 |
| Other values (4) | 14 |
| Value | Count | Frequency (%) | |
| Clear : clear sky | 168 | 47.2% | |
| Clouds : few clouds | 67 | 18.8% | |
| Clouds : broken clouds | 61 | 17.1% | |
| Clouds : scattered clouds | 34 | 9.6% | |
| Rain : light rain | 12 | 3.4% | |
| Clouds : overcast clouds | 8 | 2.2% | |
| Rain : light intensity shower rain | 2 | 0.6% | |
| Mist : mist | 2 | 0.6% | |
| Snow : light snow | 2 | 0.6% |
Length
| Max length | 34 |
|---|---|
| Mean length | 19.21629213 |
| Min length | 11 |
| Value | Count | Frequency (%) | |
| Lowercase_Letter | 21 | 77.8% | |
| Uppercase_Letter | 4 | 14.8% | |
| Space_Separator | 1 | 3.7% | |
| Other_Punctuation | 1 | 3.7% |
| Value | Count | Frequency (%) | |
| Latin | 25 | 92.6% | |
| Common | 2 | 7.4% |
| Value | Count | Frequency (%) | |
| ASCII | 27 | 100.0% |
| Distinct count | 48 |
|---|---|
| Unique (%) | 13.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.002970786517 |
|---|---|
| Minimum | 0.0014 |
| Maximum | 0.007 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.9 KiB |
Quantile statistics
| Minimum | 0.0014 |
|---|---|
| 5-th percentile | 0.0015 |
| Q1 | 0.0019 |
| median | 0.0028 |
| Q3 | 0.0037 |
| 95-th percentile | 0.0052 |
| Maximum | 0.007 |
| Range | 0.0056 |
| Interquartile range (IQR) | 0.0018 |
Descriptive statistics
| Standard deviation | 0.001186231077 |
|---|---|
| Coefficient of variation (CV) | 0.3992986606 |
| Kurtosis | 0.5310711166 |
| Mean | 0.002970786517 |
| Median Absolute Deviation (MAD) | 0.0009640891302 |
| Skewness | 0.8511770785 |
| Sum | 1.0576 |
| Variance | 1.407144168e-06 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[0.0014 0.00185 0.00445 0.00545 0.007 ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 0.0016 | 21 | 5.9% | |
| 0.0015 | 20 | 5.6% | |
| 0.0022 | 17 | 4.8% | |
| 0.0017 | 17 | 4.8% | |
| 0.0018 | 17 | 4.8% | |
| 0.0034 | 15 | 4.2% | |
| 0.0033 | 15 | 4.2% | |
| 0.0032 | 15 | 4.2% | |
| 0.0024 | 14 | 3.9% | |
| 0.0025 | 13 | 3.7% | |
| Other values (38) | 192 | 53.9% |
| Value | Count | Frequency (%) | |
| 0.0014 | 7 | 2.0% | |
| 0.0015 | 20 | 5.6% | |
| 0.0016 | 21 | 5.9% | |
| 0.0017 | 17 | 4.8% | |
| 0.0018 | 17 | 4.8% |
| Value | Count | Frequency (%) | |
| 0.007 | 1 | 0.3% | |
| 0.0068 | 1 | 0.3% | |
| 0.0067 | 1 | 0.3% | |
| 0.0066 | 1 | 0.3% | |
| 0.0065 | 2 | 0.6% |
| Distinct count | 32 |
|---|---|
| Unique (%) | 9.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.35393258 |
|---|---|
| Minimum | 0 |
| Maximum | 32 |
| Zeros | 2 |
| Zeros (%) | 0.6% |
| Memory size | 2.9 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2.75 |
| Q1 | 8 |
| median | 12 |
| Q3 | 16 |
| 95-th percentile | 24 |
| Maximum | 32 |
| Range | 32 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 6.408050503 |
|---|---|
| Coefficient of variation (CV) | 0.5187053159 |
| Kurtosis | 0.1770665502 |
| Mean | 12.35393258 |
| Median Absolute Deviation (MAD) | 5.027490216 |
| Skewness | 0.489148045 |
| Sum | 4398 |
| Variance | 41.06311125 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 0. 7.5 14.5 21.5 32. ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 14 | 28 | 7.9% | |
| 11 | 27 | 7.6% | |
| 13 | 26 | 7.3% | |
| 12 | 23 | 6.5% | |
| 10 | 21 | 5.9% | |
| 8 | 19 | 5.3% | |
| 9 | 18 | 5.1% | |
| 5 | 17 | 4.8% | |
| 17 | 17 | 4.8% | |
| 21 | 16 | 4.5% | |
| Other values (22) | 144 | 40.4% |
| Value | Count | Frequency (%) | |
| 0 | 2 | 0.6% | |
| 1 | 6 | 1.7% | |
| 2 | 10 | 2.8% | |
| 3 | 11 | 3.1% | |
| 4 | 11 | 3.1% |
| Value | Count | Frequency (%) | |
| 32 | 1 | 0.3% | |
| 31 | 3 | 0.8% | |
| 30 | 2 | 0.6% | |
| 29 | 2 | 0.6% | |
| 28 | 1 | 0.3% |
| Distinct count | 314 |
|---|---|
| Unique (%) | 88.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -3.994129213 |
|---|---|
| Minimum | -12.96 |
| Maximum | 8.79 |
| Zeros | 1 |
| Zeros (%) | 0.3% |
| Memory size | 2.9 KiB |
Quantile statistics
| Minimum | -12.96 |
|---|---|
| 5-th percentile | -11.6575 |
| Q1 | -8.585 |
| median | -3.95 |
| Q3 | 0.0025 |
| 95-th percentile | 4.615 |
| Maximum | 8.79 |
| Range | 21.75 |
| Interquartile range (IQR) | 8.5875 |
Descriptive statistics
| Standard deviation | 5.170022647 |
|---|---|
| Coefficient of variation (CV) | -1.294405456 |
| Kurtosis | -0.7990097864 |
| Mean | -3.994129213 |
| Median Absolute Deviation (MAD) | 4.379770389 |
| Skewness | 0.148028125 |
| Sum | -1421.91 |
| Variance | 26.72913417 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[-12.96 2.335 8.79 ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| -10.73 | 3 | 0.8% | |
| -1.1 | 3 | 0.8% | |
| -4.44 | 3 | 0.8% | |
| -6.81 | 2 | 0.6% | |
| -2.2 | 2 | 0.6% | |
| -2.14 | 2 | 0.6% | |
| -5.87 | 2 | 0.6% | |
| 1.69 | 2 | 0.6% | |
| -4.57 | 2 | 0.6% | |
| -9.64 | 2 | 0.6% | |
| Other values (304) | 333 | 93.5% |
| Value | Count | Frequency (%) | |
| -12.96 | 1 | 0.3% | |
| -12.9 | 1 | 0.3% | |
| -12.81 | 1 | 0.3% | |
| -12.56 | 1 | 0.3% | |
| -12.55 | 1 | 0.3% |
| Value | Count | Frequency (%) | |
| 8.79 | 1 | 0.3% | |
| 8.38 | 1 | 0.3% | |
| 8.17 | 1 | 0.3% | |
| 7.9 | 1 | 0.3% | |
| 7.85 | 1 | 0.3% |
| Distinct count | 83 |
|---|---|
| Unique (%) | 23.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.267502809 |
|---|---|
| Minimum | 1.218 |
| Maximum | 1.309 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 2.9 KiB |
Quantile statistics
| Minimum | 1.218 |
|---|---|
| 5-th percentile | 1.23 |
| Q1 | 1.254 |
| median | 1.268 |
| Q3 | 1.281 |
| 95-th percentile | 1.3 |
| Maximum | 1.309 |
| Range | 0.091 |
| Interquartile range (IQR) | 0.027 |
Descriptive statistics
| Standard deviation | 0.02003525043 |
|---|---|
| Coefficient of variation (CV) | 0.01580686866 |
| Kurtosis | -0.2999573909 |
| Mean | 1.267502809 |
| Median Absolute Deviation (MAD) | 0.01589041788 |
| Skewness | -0.163961258 |
| Sum | 451.231 |
| Variance | 0.0004014112597 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1.218 1.2425 1.2605 1.2765 1.309 ], "bayesian blocks" binning strategy used)
| Value | Count | Frequency (%) | |
| 1.266 | 12 | 3.4% | |
| 1.27 | 12 | 3.4% | |
| 1.268 | 11 | 3.1% | |
| 1.262 | 11 | 3.1% | |
| 1.276 | 9 | 2.5% | |
| 1.256 | 9 | 2.5% | |
| 1.271 | 9 | 2.5% | |
| 1.258 | 8 | 2.2% | |
| 1.273 | 8 | 2.2% | |
| 1.263 | 7 | 2.0% | |
| Other values (73) | 260 | 73.0% |
| Value | Count | Frequency (%) | |
| 1.218 | 1 | 0.3% | |
| 1.219 | 2 | 0.6% | |
| 1.221 | 1 | 0.3% | |
| 1.222 | 4 | 1.1% | |
| 1.223 | 1 | 0.3% |
| Value | Count | Frequency (%) | |
| 1.309 | 1 | 0.3% | |
| 1.308 | 2 | 0.6% | |
| 1.307 | 1 | 0.3% | |
| 1.305 | 3 | 0.8% | |
| 1.304 | 5 | 1.4% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
First rows
| datetime | temperature | humidity | pressure | windspeed | winddir | cloudcoverage | weather_description | humidity_abs | enthalpy | dewpoint | density | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 2020-03-19 11:45:50 | 13.91 | 71 | 1025 | 4.1 | 290.0 | 75 | Clouds : broken clouds | 0.0070 | 32.0 | 8.79 | 1.224 |
| 1 | 2020-03-19 12:50:48 | 13.81 | 67 | 1025 | 3.6 | 330.0 | 75 | Clouds : broken clouds | 0.0065 | 31.0 | 7.85 | 1.225 |
| 2 | 2020-03-19 13:46:46 | 13.48 | 71 | 1025 | 3.6 | 350.0 | 75 | Clouds : broken clouds | 0.0068 | 31.0 | 8.38 | 1.226 |
| 3 | 2020-03-19 14:52:21 | 13.65 | 67 | 1025 | 3.1 | 360.0 | 40 | Clouds : scattered clouds | 0.0065 | 30.0 | 7.70 | 1.226 |
| 4 | 2020-03-19 15:52:40 | 13.26 | 71 | 1025 | 3.6 | 340.0 | 40 | Clouds : scattered clouds | 0.0067 | 30.0 | 8.17 | 1.227 |
| 5 | 2020-03-19 16:53:38 | 12.55 | 71 | 1025 | 3.1 | 350.0 | 75 | Clouds : broken clouds | 0.0064 | 29.0 | 7.49 | 1.230 |
| 6 | 2020-03-19 17:52:00 | 11.45 | 76 | 1025 | 3.1 | 30.0 | 75 | Clouds : broken clouds | 0.0064 | 28.0 | 7.43 | 1.235 |
| 7 | 2020-03-19 18:47:19 | 10.15 | 76 | 1025 | 3.1 | 10.0 | 75 | Clouds : broken clouds | 0.0058 | 25.0 | 6.18 | 1.241 |
| 8 | 2020-03-19 19:52:54 | 9.50 | 81 | 1026 | 3.6 | 40.0 | 75 | Clouds : broken clouds | 0.0059 | 25.0 | 6.47 | 1.244 |
| 9 | 2020-03-19 20:48:20 | 8.92 | 76 | 1026 | 2.1 | 80.0 | 75 | Clouds : broken clouds | 0.0054 | 23.0 | 4.99 | 1.247 |
Last rows
| datetime | temperature | humidity | pressure | windspeed | winddir | cloudcoverage | weather_description | humidity_abs | enthalpy | dewpoint | density | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 346 | 2020-04-03 03:52:48 | 6.68 | 70 | 1005 | 7.2 | 280.0 | 75 | Rain : light rain | 0.0042 | 17.0 | 1.68 | 1.258 |
| 347 | 2020-04-03 04:54:44 | 6.28 | 75 | 1006 | 5.1 | 260.0 | 77 | Rain : light rain | 0.0044 | 17.0 | 2.26 | 1.259 |
| 348 | 2020-04-03 05:50:45 | 6.16 | 70 | 1006 | 4.1 | 280.0 | 75 | Clouds : broken clouds | 0.0041 | 17.0 | 1.19 | 1.260 |
| 349 | 2020-04-03 06:47:05 | 5.74 | 72 | 1007 | 7.2 | 290.0 | 20 | Clouds : few clouds | 0.0041 | 16.0 | 1.18 | 1.262 |
| 350 | 2020-04-03 07:49:06 | 5.33 | 60 | 1008 | 6.7 | 300.0 | 20 | Clouds : few clouds | 0.0033 | 14.0 | -1.70 | 1.265 |
| 351 | 2020-04-03 08:53:05 | 5.80 | 60 | 1010 | 6.7 | 280.0 | 20 | Clouds : few clouds | 0.0034 | 14.0 | -1.26 | 1.262 |
| 352 | 2020-04-03 09:50:01 | 7.17 | 56 | 1010 | 7.7 | 280.0 | 20 | Clouds : few clouds | 0.0035 | 16.0 | -0.92 | 1.256 |
| 353 | 2020-04-03 11:00:25 | 8.06 | 52 | 1011 | 8.2 | 280.0 | 40 | Clouds : scattered clouds | 0.0035 | 17.0 | -1.10 | 1.252 |
| 354 | 2020-04-03 11:53:53 | 8.54 | 52 | 1012 | 6.2 | 290.0 | 75 | Clouds : broken clouds | 0.0036 | 18.0 | -0.65 | 1.250 |
| 355 | 2020-04-03 12:56:50 | 9.47 | 49 | 1012 | 6.7 | 290.0 | 75 | Clouds : broken clouds | 0.0036 | 19.0 | -0.61 | 1.246 |